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» On-line Learning and the Metrical Task System Problem
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KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 1 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
IJCAI
2007
15 years 2 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
AOIS
2004
15 years 2 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
IDEAL
2004
Springer
15 years 6 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
AIED
2005
Springer
15 years 7 months ago
Do Performance Goals Lead Students to Game the System?
Students approach the learning opportunity offered by intelligent tutoring systems with a variety of goals and attitudes. These goals and attitudes can substantially affect student...
Ryan Shaun Baker, Ido Roll, Albert T. Corbett, Ken...